Silhouette Score Engine MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Calculate Silhouette Score

Name: Silhouette Score Engine
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Silhouette Score Engine through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Silhouette Score Engine MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Silhouette Score Engine Assistant",
            instructions=(
                "You help users interact with Silhouette Score Engine. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Silhouette Score Engine"
        )
        print(result.final_output)

asyncio.run(main())

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About Silhouette Score Engine MCP Server

Determining whether a clustering algorithm like K-Means actually grouped data effectively is impossible for a text-based LLM. The Silhouette Score is a complex computational metric that measures the distance between data points within the same cluster versus points in neighboring clusters. This engine executes the heavy geometric Euclidean distance calculations in native V8 JavaScript, giving agents the ability to autonomously determine the optimal number of clusters (k).

The OpenAI Agents SDK auto-discovers all 1 tools from Silhouette Score Engine through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Silhouette Score Engine, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

The Silhouette Score Engine MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Silhouette Score Engine tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Silhouette Score Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning clustering, machine-learning, data-evaluation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

calculate

Calculate silhouette score on Silhouette Score Engine

Provide 2D array data and cluster labels. Calculates the Silhouette score for clustering evaluation

Connect Silhouette Score Engine to OpenAI Agents SDK via MCP

Follow these steps to wire Silhouette Score Engine into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 1 tools from Silhouette Score Engine

Why Use OpenAI Agents SDK with the Silhouette Score Engine MCP Server

OpenAI Agents SDK provides unique advantages when paired with Silhouette Score Engine through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Silhouette Score Engine + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Silhouette Score Engine MCP Server delivers measurable value.

Automated workflows: build agents that query Silhouette Score Engine, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Silhouette Score Engine, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Silhouette Score Engine tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Silhouette Score Engine to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Silhouette Score Engine in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Silhouette Score Engine immediately.

"Here are my 2D coordinates and the cluster labels generated by my K-Means script. Calculate the Silhouette Score to see if the clusters are distinct."

"I have clustered the same dataset with K=2, K=3, and K=4. Calculate the Silhouette score for all three assignments and tell me which K is the absolute best."

"Compute the silhouette score for these customer embeddings. If the score is below 0.3, explain why the clusters might be overlapping."

Troubleshooting Silhouette Score Engine MCP Server with OpenAI Agents SDK

Common issues when connecting Silhouette Score Engine to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Silhouette Score Engine + OpenAI Agents SDK FAQ

Common questions about integrating Silhouette Score Engine MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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